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» Hierarchical Gaussian Process Regression
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93
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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
15 years 4 months ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
80
Voted
3DPH
2009
163views Healthcare» more  3DPH 2009»
14 years 11 months ago
Discriminative Human Full-Body Pose Estimation from Wearable Inertial Sensor Data
Abstract. In this paper, a method is presented that allows reconstructing the full-body pose of a person in real-time, based on the limited input from a few wearable inertial senso...
Loren Arthur Schwarz, Diana Mateus, Nassir Navab
91
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AAAI
2010
14 years 10 months ago
Fast Conditional Density Estimation for Quantitative Structure-Activity Relationships
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
Fabian Buchwald, Tobias Girschick, Eibe Frank, Ste...
87
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JMLR
2006
136views more  JMLR 2006»
14 years 10 months ago
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
Tonatiuh Peña Centeno, Neil D. Lawrence
90
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JMLR
2010
135views more  JMLR 2010»
14 years 8 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...